Synthesis of the O antigen repeating units of <i>Escherichia coli</i> serotypes O117 and O107
Bibliographic record
Abstract
Escherichia coli serotype O117 (ECO117) are pathogenic bacteria that produce Shiga toxin. Repeating units of the O antigen of ECO117 have the pentasaccharide structure [4-D-GalNAcβ1-3-L-Rhaα1-4-D-Glcα1-4-D-Galβ1-3-D-GalNAcα1-]n. The related non-pathogenic serotype (ECO107) contains a GlcNAc residue instead of Glc in the repeating unit, and the biosynthetic enzymes involved are almost identical. We assembled these repeating units based on GalNAcα-diphosphate-phenylundecyl (GalNAcα-PP-PhU), an analog of the natural intermediate GalNAc-diphosphate-undecaprenyl. We previously characterized α1,4-Glc-transferase WclY from ECO117 that transfers the Glc residue to Galβ1-3GalNAcα-PP-PhU and showed that Arg194Cys mutants of WclY are active α1,4-GlcNAc-transferases. In this work, the reaction products of WclY were used as acceptor substrates for the final enzymes in pathway, L-Rha-transferase WclX, and GalNAc-transferase WclW, demonstrating a complete synthesis of the ECO117 and O107 repeating units. WclX transfers L-Rha with high specificity for the WclY enzyme product as the acceptor and for TDP-L-Rha as the donor substrate. A number of highly conserved sequence motifs were identified (DDGSxD, DxDD, and YR). Mutational analysis revealed several Asp residues are essential for the catalysis of L-Rha transfer, while mutations of Asp44 and Arg212 substantially reduced the activity of WclX. WclW is a GT2 enzyme specific for UDP-GalNAc but with broad specificity for the acceptor substrate. Using L-Rhaα-p-nitrophenyl as an acceptor for WclW, the reaction product was analyzed by NMR demonstrating that GalNAc was transferred in a β1-3 linkage to L-Rha. The in vitro synthesis of the repeating units allows the production of vaccine candidates and identifies potential targets for inhibition of O antigen biosynthesis.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".